Abstract
The development and use of efficient computational tools can add to the completeness of bioinformatics databases and our understanding of molecular structure and relationships between structure and function. Reliable macromolecular modeling can provide tools for expanding (experimental) bioinformatics databases beyond the capacity of experimental methods and provide new knowledge. An approach that combines the explicit solvent (ES) and implicit solvent (IS) models has been developed for calculating free energies of protein and nucleic acid conformations. A protocol for calculating context-dependent DNA conformational parameters has been developed.
Key words
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer Science+Business Media New York
About this chapter
Cite this chapter
Vorobjev, Y.N. (2004). Macromolecular Modeling as a Tool for Expanding Bioinformatics Databases. In: Kolchanov, N., Hofestaedt, R. (eds) Bioinformatics of Genome Regulation and Structure. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7152-4_17
Download citation
DOI: https://doi.org/10.1007/978-1-4419-7152-4_17
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-4613-6
Online ISBN: 978-1-4419-7152-4
eBook Packages: Springer Book Archive